Abstract
With the rapid increase in individuals participating in resistance training activities, the number of injuries pertaining to these activities has also grown just as aggressively. Diagnosing the causes of injuries and discomfort requires a large amount of resources from highly experienced physiotherapists. In this paper, we propose a new framework to analyse and visualize movement patterns during performance of four major compound lifts. The analysis generated will be used to efficiently determine whether the exercises are being performed correctly, ensuring anatomy remains within its functional range of motion, in order to prevent strain or discomfort that may lead to injury.
Original language | English |
---|---|
Title of host publication | Proceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games |
Subtitle of host publication | Newcastle upon Tyne, England, October 28-30, 2019 |
Editors | Hubert P. H. Shum, Edmond S. L. Ho, Marie-Paule Cani, Tiberiu Popa, Daniel Holden, He Wang |
Place of Publication | New York |
Publisher | ACM |
ISBN (Electronic) | 9781450369947 |
DOIs | |
Publication status | Published - 28 Oct 2019 |
Event | MIG 2019: 12th annual ACM/SIGGRAPH conference on Motion, Interaction and Games - Northumbria University, Newcastle upon Tyne, United Kingdom Duration: 28 Oct 2019 → 30 Oct 2019 http://www.mig2019.website/index.html |
Conference
Conference | MIG 2019 |
---|---|
Country/Territory | United Kingdom |
City | Newcastle upon Tyne |
Period | 28/10/19 → 30/10/19 |
Internet address |
Keywords
- Motion analysis
- Motion capture
- Resistant training
- Visualization